Machine Learning Security Engineer

About the role

Join a cybersecurity company building AI-driven security solutions for enterprise environments. This remote opportunity is perfect for a Machine Learning Security Engineer passionate about securing modern infrastructure through automation, detection engineering, and intelligent threat analysis. You’ll work with technologies across Python, AWS, Kubernetes, SIEM platforms, and machine learning frameworks to help shape next-generation security operations.

Responsibilities

• 30% Cloud & Security Infrastructure
• 20% Threat Detection & Response
• 10% Research & Optimization
• 70% Hands On
• 10% Management Duties
• 20% Team Collaboration

Requirements

• 3+ years of experience in Security Engineering, Detection Engineering, or ML Engineering
• Strong Python scripting and automation experience
• Experience with SIEM tools such as Splunk, Sentinel, or Elastic
• Understanding of threat detection, behavioral analytics, and SOC workflows
• Familiarity with cloud environments such as AWS or Azure
• Experience working with machine learning models or data pipelines
• Experience with Kubernetes or Docker environments
• Knowledge of LLMs, AI security, or adversarial machine learning
• Familiarity with EDR tools like SentinelOne, CrowdStrike, or Defender
• Experience with MLOps tools and CI/CD pipelines
• Security certifications such as Security+, CISSP, or GIAC

Qualifications

Medical, Dental, and Vision Insurance
Vacation Time
Stock Options

Skills

Python & Machine Learning Engineering

Benefits

• Medical, Dental, and Vision Insurance
• Vacation Time
• Stock Options

Pay

$200k - $250k

Schedule

Remote